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Record W2326967965 · doi:10.1086/675092

Reimagining Religious Identity: The Moor in Dutch and English Pamphlets, 1550–1620

2013· article· en· W2326967965 on OpenAlexaff
Gary K. Waite

Bibliographic record

VenueRenaissance Quarterly · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsUniversity of FrederictonUniversity of New Brunswick
Fundersnot available
KeywordsTolerationProtestantismReligious identityVernacularReligious studiesConsciencePariah groupIdentity (music)HistoryLawSociologyPolitical scienceLiteratureArtPoliticsPhilosophyAesthetics

Abstract

fetched live from OpenAlex

This essay examines how Dutch and English vernacular writers portrayed the Moor in the late sixteenth and early seventeenth centuries, when their respective governments were engaged in diplomatic and trade discussions with Morocco. It aims for a better understanding of the difference in religious attitudes and cultures between these two Protestant realms by arguing that their respective approaches to internal religious toleration significantly influenced how their residents viewed Muslims. Dutch writers adopted a less hostile tone toward the Moor than English writers due to the republic’s principled defense of freedom of conscience, its informal system of religious toleration in the private sector, and its merchant Realpolitik. Unlike in England, Dutch conversos were allowed to be Jews. A number of Moroccan Muslims also resided in Holland, lobbying on behalf of the Muslim King of Morocco. The Moroccan Jewish Pallache family played prominent roles with the government and in two of the pamphlets examined here, including one that interprets a Moroccan civil war through the lens of demonic sorcery. So too did Jan Theunisz, a liberal Mennonite of Amsterdam who collaborated with both Jews and Muslims in his home. As Dutch citizens were adapting to a new religious environment that effectively privatized religious practice, they were better equipped than their English counterparts to acclimatize to Jews inside and the Moor outside their borders.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0040.003
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.275
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2013
Admission routes1
Has abstractyes

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